cnki-journal-index

cnki-journal-index is a skill for Claude Code from YuanyuanMa03/academic-research-skills. It costs 61 tokens per session (1,659 once invoked), scanned A, original, MIT.

A CNKI lookup tool for checking which academic databases include a journal and viewing its evaluation information. CNKI is a Chinese research database and journal directory.

In plain words
What is it for?
Use it to look up a journal by name or CNKI detail URL, then review listings such as CSSCI, CSCD, SCI, or EI and related metrics.
Why use it?
It avoids checking several indexing lists manually when you need to judge a journal’s coverage or standing.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the cnki-journal-index plugin — 1 skill shipped together

Good fit Use it to look up a journal by name or CNKI detail URL, then review listings such as CSSCI, CSCD, SCI, or EI and related metrics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuanyuanma03/academic-research-skills/cnki-journal-index
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add YuanyuanMa03/academic-research-skills --skill cnki-journal-index
Clone the repo
git clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skills

Made for: Claude Code.

Or install cnki-journal-index, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cnki-journal-index

README.md
[![agentmods](https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-journal-index/github.svg)](https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-journal-index)
Your own site
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-journal-index"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-journal-index/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cnki-journal-index

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-journal-index"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-journal-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,659 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01659
Opus 5 $0.00030 $0.00830
Sonnet 5 $0.00012 $0.00332
Haiku 4.5 $0.00006 $0.00166

Measured 12d ago against content hash 15cdb87b16b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cnki-journal-index scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/cnki-journal-index/skills/cnki-journal-index/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CNKI Journal Indexing Query (收录查询)

Check which databases index a journal and extract evaluation metrics from its CNKI detail page.

Arguments

$ARGUMENTS is either:

  • A journal name (will search first, then navigate to detail)
  • A CNKI journal detail URL (containing navi.cnki.net/knavi/detail)

Steps

1. Navigate to the journal detail page

If URL provided: Navigate directly.

  • Use mcp__chrome-devtools__navigate_page with the URL.
  • Use mcp__chrome-devtools__wait_for with text ["该刊被以下数据库收录"] and timeout 15000.

If journal name provided: Search first.

  • Navigate to https://navi.cnki.net/knavi
  • Search for the journal (same as cnki-journal-search steps 2-4)
  • Click the first matching journal title link
  • Use mcp__chrome-devtools__list_pages to find and select the new detail tab
  • Wait for the detail page to load

2. Check for captcha

Take snapshot. If "拖动下方拼图完成验证" found, notify user.

3. Extract journal info via JavaScript

Use mcp__chrome-devtools__evaluate_script with this function:

() => {
  const body = document.body.innerText;

  // Journal title
  const titleEl = document.querySelector('h3.titbox, h3.titbox1');
  const titleText = titleEl?.innerText?.trim() || '';
  const titleParts = titleText.split('\n').map(s => s.trim()).filter(Boolean);
  const nameCN = titleParts[0] || '';
  const nameEN = titleParts[1] || '';

  // Indexing tags - extract from text between title and "基本信息"
  const tagText = body.match(/Chinese.*?\n\n([\s\S]*?)\n\n基本信息/)?.[1]
    || body.match(new RegExp(nameCN + '[\\s\\S]*?\\n\\n([\\s\\S]*?)\\n\\n基本信息'))?.[1]
    || '';
  const knownTags = ['北大核心','CSSCI','CSCD','SCI','EI','CAS','JST','WJCI','AMI','Scopus','卓越期刊','网络首发'];
  const indexedIn = knownTags.filter(tag => tagText.includes(tag) || body.includes(tag));

  // Basic info
  const sponsor = body.match(/主办单位[::]\s*(.+?)(?=\n)/)?.[1] || '';
  const frequency = body.match(/出版周期[::]\s*(\S+)/)?.[1] || '';
  const issn = body.match(/ISSN[::]\s*(\S+)/)?.[1] || '';
  const cn = body.match(/CN[::]\s*(\S+)/)?.[1] || '';

  // Publication info
  const collection = body.match(/专辑名称[::]\s*(.+?)(?=\n)/)?.[1] || '';
  const paperCount = body.match(/出版文献量[::]\s*(.+?)(?=\n)/)?.[1] || '';

  // Evaluation info
  const impactComposite = body.match(/复合影响因子[::]\s*([\d.]+)/)?.[1] || '';
  const impactComprehensive = body.match(/综合影响因子[::]\s*([\d.]+)/)?.[1] || '';

  // "该刊被以下数据库收录" section - click "更多介绍" first if needed
  const moreBtn = Array.from(document.querySelectorAll('a')).find(a => a.innerText?.includes('更多介绍'));
  const hasMoreIntro = !!moreBtn;

  return {
    nameCN,
    nameEN,
    indexedIn,
    sponsor,
    frequency,
    issn,
    cn,
    collection,
    paperCount,
    impactComposite,
    impactComprehensive,
    hasMoreIntro,
    rawTagText: tagText.substring(0, 200)
  };
}

Read the full file on GitHub · 164 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 164 lines · 61 tokens per session scan A 15cdb87b16b7

Subscribe to this mod's changes

cnki-journal-index is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 61 tokens to every session and 1,659 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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